Files
Arnaud b330583dd3 fix: detect imported recipe language for Translate button (v0.33.1)
URL import extracts content in the source page's own language (no
translation), but never recorded what that language was, so the
Translate button's "recipe.language !== my locale" check always saw
null and showed the button unconditionally. The extractor now returns
a detected ISO 639-1 language code alongside the recipe.

Photo import always writes in the caller's locale already (see its
langInstruction) but never recorded that either — now sets it
directly to locale since it's known, not detected.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-14 15:21:15 +02:00

55 lines
2.6 KiB
TypeScript

import { generateObject } from "ai";
import { z } from "zod";
import { resolveModel, type AiConfig } from "../factory";
import { safeFetch } from "@/lib/validate-webhook-url";
import { dietaryTagsSchema, ingredientSchema, stepSchema } from "./recipe-schema";
const ImportedRecipeSchema = z.object({
recipeType: z.enum(["dish", "drink"]).describe("\"drink\" only for a beverage/cocktail (no cooking step) — \"dish\" for anything else, including if unsure."),
language: z.string().min(2).max(10).describe("ISO 639-1 code of the language the recipe content (title/ingredients/steps) is actually written in, e.g. \"en\", \"fr\" — the source page's language, not a language to translate into."),
title: z.string(),
description: z.string().optional(),
baseServings: z.number().int().min(1).optional(),
prepMins: z.number().int().min(0).optional(),
cookMins: z.number().int().min(0).optional(),
difficulty: z.enum(["easy", "medium", "hard"]).optional(),
dietaryTags: dietaryTagsSchema.optional(),
ingredients: z.array(ingredientSchema(z.string())),
steps: z.array(stepSchema),
});
export type ImportedRecipe = z.infer<typeof ImportedRecipeSchema>;
export async function importFromUrl(url: string, config?: AiConfig): Promise<ImportedRecipe> {
const res = await safeFetch(url, {
headers: { "User-Agent": "Mozilla/5.0 (compatible; Epicure/1.0; recipe importer)" },
signal: AbortSignal.timeout(10000),
});
if (!res.ok) throw new Error(`Failed to fetch URL: ${res.status}`);
const html = await res.text();
// strip scripts/styles, take first 30k chars to stay within context
const cleaned = html
.replace(/<script[\s\S]*?<\/script>/gi, "")
.replace(/<style[\s\S]*?<\/style>/gi, "")
.replace(/<[^>]+>/g, " ")
.replace(/\s+/g, " ")
.slice(0, 30000);
const model = resolveModel(config);
const { object } = await generateObject({
model,
schema: ImportedRecipeSchema,
system:
"You are an expert at extracting structured recipe data from web page text. Extract all recipe information accurately, in the same language as the source page — do not translate it. For ingredients, separate quantity, unit, and name. For steps, extract timer durations in seconds when mentioned. Set recipeType to \"drink\" only for a beverage/cocktail with no cooking involved — never set cookMins for a drink. Set language to the ISO 639-1 code of the page's actual language.",
prompt: `Extract the recipe from this web page:\n\nURL: ${url}\n\nContent:\n${cleaned}`,
});
if (object.recipeType === "drink") {
return { ...object, cookMins: undefined };
}
return object;
}